{"id":"W2137929031","doi":"10.1080/01421590802572783","title":"Is a web-based concordance test feasible to assess therapeutic decision-making skills in a French context?","year":2009,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Concordance; Context (archaeology); Curriculum; Test (biology); Medical education; Matching (statistics); Subject (documents); Educational measurement; Clinical decision making; Rank (graph theory); Psychology; Medicine; Computer science; Pedagogy; Family medicine; World Wide Web; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001311771,0.0002534333,0.0006742829,0.0001624155,0.00004865802,0.00003762582,0.0002812601,0.0003304087,0.004657522],"category_scores_gemma":[0.1352419,0.0001938305,0.0001717959,0.0006065663,0.0001258625,0.00003958158,0.00004003863,0.0007871324,0.0003227316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705191,"about_ca_system_score_gemma":0.0007903638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009615545,"about_ca_topic_score_gemma":0.0001111184,"domain_scores_codex":[0.9970236,0.000110104,0.0006504443,0.0005569802,0.001120537,0.0005382918],"domain_scores_gemma":[0.9847211,0.01374733,0.00009234341,0.000545633,0.0001154036,0.0007782351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009886763,0.002094768,0.5308701,0.000008360348,0.0000157828,0.0004046352,0.0002088078,0.00000405504,0.00004119521,0.00003979406,0.01588359,0.45033],"study_design_scores_gemma":[0.009291708,0.001626525,0.939546,0.01474482,0.00009040986,0.00006598045,0.0001067895,0.01358225,0.000102808,0.001773936,0.0186141,0.0004546483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622604,0.0008838362,0.004673277,0.02363968,0.0002792517,0.0005958713,0.000005458426,0.0001521512,0.007510046],"genre_scores_gemma":[0.9454761,0.00003154518,0.001607359,0.05142442,0.0002588094,0.00003996906,0.000005627124,0.000025479,0.001130754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4498753,"threshold_uncertainty_score":0.9962524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04391080003756575,"score_gpt":0.4004435223058183,"score_spread":0.3565327222682525,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}